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Speaking: Peter Li
John Snow's map of the 1854 cholera outbreak in London's Soho is a classic example of data visualization. For Snow, the map helped to support his two then contested, if not controversial claims: that cholera is a waterborne disease and that the water pump on Broad Street was the source of the outbreak.
To evaluate whether the map does or can actually support such claims, I created the 'cholera' R package (CRAN and GitHub). The package allows you to explore, analyze and test the data embedded in the map. It does so by computing and plotting a pump's neighborhood: the set of locations defined their "proximity" to a pump.
The talk will focus on the tools and techniques used to compute and visualize these "pump neighborhoods" and will include examples (all in R) of everything from orthogonal projection to more specialized topics like Voronoi tessellation ('deldir'), spatial data analysis ('sp'), graph/network analysis ('igraph'), generic functions (e.g., S3 generic functions), and embarrassingly parallel problems ('parallel').
Peter Li is a quantitative social scientist and long time R user
6:00 Doors open - socializing & individual questions
6:25 Announcements & Introduction
6:30 Speaker(s)
7:45 Wrap up & socializing
8:00 Out the door!

Past Meetups (85)

What we're about

This group focuses on the learning how to use R in your daily (professional?) life. Each session is filled with real-world examples. Members are welcome to suggest and present topics. If you are just starting with R this is the perfect place to find out about data analysis from a group your peers.